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28 April 2024
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Deep Ganguli
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1.
Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning
Thomas Vandal
;
Evan Kodra
;
Jennifer Dy
;
Sangram Ganguly
;
Ramakrishna Nemani
;
Auroop R. Ganguly
;
13 Feb 2018
2.
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction
Hidenori Tanaka
;
Aran Nayebi
;
Niru Maheswaranathan
;
Lane McIntosh
;
Stephen A. Baccus
;
Surya Ganguli
;
12 Dec 2019
3.
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel
Stanislav Fort
;
Gintare Karolina Dziugaite
;
Mansheej Paul
;
Sepideh Kharaghani
;
Daniel M. Roy
;
Surya Ganguli
;
28 Oct 2020
4.
Exponential expressivity in deep neural networks through transient chaos
Ben Poole
;
Subhaneil Lahiri
;
Maithra Raghu
;
Jascha Sohl-Dickstein
;
Surya Ganguli
;
17 Jun 2016
5.
Deep-QPP: A Pairwise Interaction-based Deep Learning Model for Supervised Query Performance Prediction
Suchana Datta
;
Debasis Ganguly
;
Derek Greene
;
Mandar Mitra
;
15 Feb 2022
6.
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets
Saikat Basu
;
Manohar Karki
;
Sangram Ganguly
;
Robert DiBiano
;
Supratik Mukhopadhyay
;
Ramakrishna Nemani
;
11 Sep 2015
7.
What does a deep neural network confidently perceive? The effective dimension of high certainty class manifolds and their low confidence boundaries
Stanislav Fort
;
Ekin Dogus Cubuk
;
Surya Ganguli
;
Samuel S. Schoenholz
;
11 Oct 2022
8.
Deep Learning on a Data Diet: Finding Important Examples Early in Training
Mansheej Paul
;
Surya Ganguli
;
Gintare Karolina Dziugaite
;
15 Jul 2021
9.
Bayesian Deep Learning Hyperparameter Search for Robust Function Mapping to Polynomials with Noise
Nidhin Harilal
;
Udit Bhatia
;
Auroop R. Ganguly
;
23 Jun 2021
10.
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
Daniel Kunin
;
Javier Sagastuy-Brena
;
Surya Ganguli
;
Daniel L.K. Yamins
;
Hidenori Tanaka
;
8 Dec 2020
11.
Deep Differentiable Grasp Planner for High-DOF Grippers
Min Liu
;
Zherong Pan
;
Kai Xu
;
Kanishka Ganguly
;
Dinesh Manocha
;
4 Feb 2020
12.
Map Enhanced Route Travel Time Prediction using Deep Neural Networks
Soumi Das
;
Rajath Nandan Kalava
;
Kolli Kiran Kumar
;
Akhil Kandregula
;
Kalpam Suhaas
;
Sourangshu Bhattacharya
;
Niloy Ganguly
;
6 Nov 2019
13.
A Deep Generative Model for Code-Switched Text
Bidisha Samanta
;
Sharmila Reddy
;
Hussain Jagirdar
;
Niloy Ganguly
;
Soumen Chakrabarti
;
21 Jun 2019
14.
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
Jack Lindsey
;
Samuel A. Ocko
;
Surya Ganguli
;
Stephane Deny
;
4 Jan 2019
15.
Biologically inspired protection of deep networks from adversarial attacks
Aran Nayebi
;
Surya Ganguli
;
27 Mar 2017
16.
Deep Learning Models of the Retinal Response to Natural Scenes
Lane T. McIntosh
;
Niru Maheswaranathan
;
Aran Nayebi
;
Surya Ganguli
;
Stephen A. Baccus
;
7 Feb 2017
17.
Survey of Expressivity in Deep Neural Networks
Maithra Raghu
;
Ben Poole
;
Jon Kleinberg
;
Surya Ganguli
;
Jascha Sohl-Dickstein
;
24 Nov 2016
18.
On the expressive power of deep neural networks
Maithra Raghu
;
Ben Poole
;
Jon Kleinberg
;
Surya Ganguli
;
Jascha Sohl-Dickstein
;
16 Jun 2016
19.
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Sohl-Dickstein
;
Eric A. Weiss
;
Niru Maheswaranathan
;
Surya Ganguli
;
12 Mar 2015
20.
Beyond neural scaling laws: beating power law scaling via data pruning
Ben Sorscher
;
Robert Geirhos
;
Shashank Shekhar
;
Surya Ganguli
;
Ari S. Morcos
;
29 Jun 2022
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